Job Type

Background

Languages

Experience Required

Degree Required

Bachelor

Province

Noord Holland

Date Posted

July 7, 2018

R&D Engineer Autonomous Driving (Machine Learning/Computer Vision)

Want to impact the future of map-making for autonomous driving

At TomTom, you are in a unique position to advance and to impact the future of autonomous driving. We are doing world-class research and development to innovate our map technology for self-driving cars, using the latest machine learning and computer vision techniques. Our mapping algorithms and models are from the cutting edge of deep learning having some of the largest labelled maps-related databases in the world, we make use of both supervised and unsupervised learning algorithms, and apply them using a variety of deep networks for classification and segmentation. The latest SLAM and visual odometry algorithms help us to align separate data sources, and to represent them in a common coordinate frame.

The Challenge

In order to create maps that are precise and detailed enough to allow for autonomous driving, we need to efficiently analyse incoming data from diverse on-car sensors such as LiDAR and cameras, yielding large amounts of image and video data. Our maps contain the precise location and a description of road elements such as paint markers, lane types, the road border, barriers, junctions, road connectivity, signage and more

Defining and being able to build a highly accurate map is essential for precise localisation and navigation of a self-driving car. As we need to be able to update and maintain our maps continuously, approaches to fully automate and scale this process are key in our research strategy

What we expect from you

Strong academic background in computer vision and machine learning with a postgraduate degree, preferably a PhD